Towards an approach for formalizing the supply chain operations

Reference models play an important role in the knowledge management of the various complex collaboration domains (such as Supply Chain Networks). However, they often show a lack of semantic precision and, they are sometimes incomplete. In this paper, we present an approach to overcome semantic inconsistencies and incompleteness of the Supply Chain Operations Reference (SCOR) model and hence, improve its usefulness and expand the application domain. First, we describe a literal OWL specification of SCOR concepts (and related tools), built with intention to preserve the original approach in the classification of process reference model entities and hence, to enable effectiveness of usage in original contexts. Next, we demonstrate the system for its exploitation, in specific - tools for SCOR framework browsing and rapid supply chain process configuration. Then, we describe the SCOR-FULL ontology and its intended use. Finally, we elaborate the potential impact of the presented approach, t...

• Type: Journal
• Year: 2010
• Where: ISEMANTICS
• Authors: Milan Zdravkovic, Hervé Panetto, Miroslav Trajanovic
• Keywords: ISEMANTICS 2010, Machine Learning, Supply Chain, Supply Chain Networks, Supply Chain Operations